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Pumpire benchmark evaluates 3D foundation models' metric distance estimation · 2 sources tracked

Researchers have introduced Pumpire, a novel benchmark designed to evaluate the metric distance estimation capabilities of 3D foundation models. This benchmark utilizes a large dataset called pumpire-6k, which includes 6,400 frames from 100 real-world scenes, each meticulously annotated with physically measured point-pair distances. Pumpire aims to directly assess how well these models can perceive and estimate physical scale in reconstructed 3D spaces, addressing a gap in previous evaluation methods that focused on geometric similarity or separate depth and camera intrinsic assessments. AI

IMPACT Establishes a new standard for evaluating 3D foundation models' ability to perceive physical scale.

RANK_REASON The cluster describes a new academic paper introducing a benchmark and dataset.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Pumpire benchmark evaluates 3D foundation models' metric distance estimation · 2 sources tracked

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COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Pumpire: Unified Benchmark for Metric Distance Estimation

    We present Pumpire, a unified benchmark for evaluating metric point-pair distance estimation capability of both image- and video-level 3D foundation models, with or without depth priors. In contrast to previous approaches that normally evaluate depth and camera intrinsics separat…

  2. arXiv cs.CV TIER_1 English(EN) · Siyu Chen, Zehan Wang, Jiayang Xu, Yihan Wu, Jialei Wang, Junming Chen, Ziang Zhang, Yutong Ying, Zhou Zhao ·

    Pumpire: Unified Benchmark for Metric Distance Estimation

    arXiv:2610.12423v1 Announce Type: new Abstract: We present Pumpire, a unified benchmark for evaluating metric point-pair distance estimation capability of both image- and video-level 3D foundation models, with or without depth priors. In contrast to previous approaches that norma…